Application Engineer Jobs in Washington
Application Engineer jobs in Washington are in strong demand, with the state's technology corridor, aerospace manufacturing, and industrial automation sectors driving consistent openings from entry-level to senior roles. Seattle, Bellevue, and Redmond anchor the largest share of hiring, where companies like Microsoft, Boeing, and Amazon maintain deep engineering workforces. The most sought-after specialties in Washington are cloud platform integration, robotics systems, and industrial controls applications. Find a role that fits below and apply directly.
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Showing 5 of 41+ Application Engineer jobs
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor's degree in Computer Science, Management Information Systems, a related technical field, or equivalent practical experience.
- 2 years of debug or validation experience with CPU, dGPU, or TPU.
- 2 years of experience with technical infrastructure (deployment or maintenance, and troubleshooting), and with quality and reliability of technical infrastructure.
- 2 years of experience with hardware debug (e.g., silicon, platform, IO interface, or memory analysis).
- Experience with Linux/Unix systems and debugging issues across hardware/software boundary on enterprise-grade server infrastructure.
- Experience troubleshooting and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance).
Preferred qualifications:
- Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
- Experience with systems automation, and with systems design and debug.
- Experience working with vendors or customers.
- Experience working with distributed systems, and familiarity with common solutions, design patterns, or best practices.
- Experience with ML frameworks (e.g., TensorFlow, PyTorch), and understanding of the AI/ML training and inference lifecycle.
- Advanced understanding of memory and high-speed IO technologies.
About the job
Our AI Infrastructure Engineering Support team is dedicated to ensuring our customers get the most out of their Google Cloud hardware investment. As a Field Application Engineer (Hardware Engineer), you will be an on-site, external-facing trusted advisor to customers, driving hardware analysis, debug, and issue resolution. You will do in-depth research into complex technical issues, troubleshoot critical issues across the platform, and provide expert solutions that help customers innovate with confidence. In this role, you will represent the customer, collaborating with engineering and product teams to drive continuous improvement in our products and services.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Participate in on-call activities and manage server and data center CPU- and TPU-based activities, working with primary responders to resolve customer system observations.
- Manage customers' problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity on AI/ML infrastructure.
- Work closely with Product, Quality, and Engineering teams to improve the product. Interact with our Site Reliability Engineering (SRE) teams to drive high-quality attainment.
- Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the root cause for customer-reported issues, and building tools for faster diagnosis.
- Act as a consultant and subject matter expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor's degree in Computer Science, Management Information Systems, a related technical field, or equivalent practical experience.
- 2 years of debug or validation experience with CPU, dGPU, or TPU.
- 2 years of experience with technical infrastructure (deployment or maintenance, and troubleshooting), and with quality and reliability of technical infrastructure.
- 2 years of experience with hardware debug (e.g., silicon, platform, IO interface, or memory analysis).
- Experience with Linux/Unix systems and debugging issues across hardware/software boundary on enterprise-grade server infrastructure.
- Experience troubleshooting and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance).
Preferred qualifications:
- Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
- Experience with systems automation, and with systems design and debug.
- Experience working with vendors or customers.
- Experience working with distributed systems, and familiarity with common solutions, design patterns, or best practices.
- Experience with ML frameworks (e.g., TensorFlow, PyTorch), and understanding of the AI/ML training and inference lifecycle.
- Advanced understanding of memory and high-speed IO technologies.
About the job
Our AI Infrastructure Engineering Support team is dedicated to ensuring our customers get the most out of their Google Cloud hardware investment. As a Field Application Engineer (Hardware Engineer), you will be an on-site, external-facing trusted advisor to customers, driving hardware analysis, debug, and issue resolution. You will do in-depth research into complex technical issues, troubleshoot critical issues across the platform, and provide expert solutions that help customers innovate with confidence. In this role, you will represent the customer, collaborating with engineering and product teams to drive continuous improvement in our products and services.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Participate in on-call activities and manage server and data center CPU- and TPU-based activities, working with primary responders to resolve customer system observations.
- Manage customers' problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity on AI/ML infrastructure.
- Work closely with Product, Quality, and Engineering teams to improve the product. Interact with our Site Reliability Engineering (SRE) teams to drive high-quality attainment.
- Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the root cause for customer-reported issues, and building tools for faster diagnosis.
- Act as a consultant and subject matter expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
See All 41 Application Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Application Engineer JobsApplication Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Application Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Science & Research
- Staffing & Recruiting
- Electronics & Hardware
- Energy
- Manufacturing
What Washington Employers Look For
The qualifications that appear most often in application engineer jobs across Washington.
- Bachelor's degree in engineering, computer science, or a closely related technical field
- Hands-on experience configuring or deploying software or hardware systems for end customers
- Proficiency with scripting or programming languages such as Python, C++, or JavaScript
- Ability to translate complex technical requirements into practical solutions for clients
- Experience collaborating with sales, product, and development teams on customer engagements
- Strong written and verbal communication skills for technical presentations and documentation
Application Engineer Jobs in Washington: Frequently Asked Questions
How do you become a application engineer in Washington?
Most application engineer roles in Washington require a bachelor's degree in mechanical, electrical, computer, or software engineering from an accredited program. Washington does not require a state-issued license specifically for application engineers, though roles in civil or structural applications may require a Professional Engineer license through the Washington State Department of Licensing. Employers typically expect demonstrated hands-on experience with the systems or platforms relevant to their product line.
Which companies hire application engineers in Washington?
Employers hiring application engineers in Washington right now include Amazon, SpaceX, and Jobot, based on current listings on Migrate Mate as of September 2026. Washington's concentration of aerospace, cloud infrastructure, and industrial automation companies means application engineers here often work at the intersection of hardware integration and enterprise software deployment.
Which Washington cities have the most application engineer jobs?
Seattle, Redmond, and Kirkland have the most application engineer openings in Washington. Seattle and Bellevue lead because of the dense cluster of technology headquarters and aerospace contractors headquartered in the Puget Sound region, while Redmond anchors a significant share of openings through Microsoft's campus and its extended network of technology suppliers and partners.
Are there remote application engineer jobs in Washington?
Yes, and more than most fields. About 60% of application engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting the role's strong software and cloud integration components. The parts of the role most suited to remote work are pre-sales technical consulting, configuration, and documentation, while on-site installation and customer commissioning work typically requires in-person presence.
How can I get hired as a application engineer in Washington with little or no experience?
The most realistic entry path is through an associate or field applications engineer role, which many Washington technology and aerospace employers use to bring in recent graduates. Companies like Boeing and larger Bellevue-based software firms run structured new-graduate and rotational programs that place candidates across product and customer-facing teams. Building a portfolio of personal or academic projects demonstrating system integration or API development significantly strengthens applications, as does an internship with a Washington-based industrial automation or cloud services company.
Where can I find and apply to application engineer jobs in Washington?
You can find and apply to application engineer jobs in Washington on Migrate Mate, which lists current Washington openings. Find roles that fit your experience and apply directly to the employers posting them.
See All 41 Application Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Application Engineer Jobs